We empowered a leading ecommerce brand to drive growth by enabling data-driven decisions
A dynamic venture poised to revolutionize India’s fashion and lifestyle landscape. With a visionary approach, The customer is on a mission to construct the nation’s premier House of Brands, setting the stage for unparalleled growth in the direct-to-consumer (D2C) sector across India.
Our client’s supply chain team grappled with manual forecasting and inventory replenishment, leading to a 300% increase in working capital blockage beyond buffer levels.
Excess inventory accumulation burdened the SCM team, escalating warehouse costs. There’s a critical need to streamline inventory management, adopt data-driven demand planning, and minimize warehouse costs and overstocking issues.
ADA implemented a data-driven inventory optimization and demand planning framework to address excess stock levels and free up working capital while supporting the client’s fast-growing D2C portfolio.
We began by analyzing historical sales trends, seasonality patterns, SKU-level performance, and channel demand to build accurate forecasting models. This replaced manual planning with automated demand forecasts that accounted for product lifecycle, regional demand, and promotional impacts.
We introduced intelligent replenishment rules that dynamically adjusted reorder quantities and safety stock levels based on sell-through rates and inventory ageing. This ensured high-demand styles remained available while preventing overstocking of slow-moving SKUs.
Finally, we implemented governance processes for periodic assortment reviews and automated alerts for ageing inventory, enabling teams to plan markdowns, promotions, or liquidation strategies proactively.
This structured, analytics-led approach optimised inventory flow, reduced warehouse costs, and unlocked working capital—allowing the client to reinvest in new styles, faster launches, and design experimentation.
